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Extracting Data from an Image Data Set Using Image Processing Methodology

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Intelligent Sustainable Systems (ICoISS 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 665))

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Abstract

Many researchers find a problem finding a similar image or specific image type from the vast image repositories. A paradigm for multimedia data mining based on image fragmentation is provided in this research for the analysis of video semantics; more precisely, Retrieval utilizing basic properties like speed, color, and shape is supported by current content management systems. The proposed procedure extracts information using the image categorization technique, producing a more efficient output. Using image color pixel average methods helps to perform this operation more accurately; in addition to this, the categorized associations carry out a classification technique by giving each of them a class label and creating video indices based on their presence in the film. The experimental findings show that the suggested strategy is effective. The proposed system shows good and quicker retrieval of image data sets.

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Authors and Affiliations

  1. Faculty of Operations & IT, ICFAI Business School (IBS), Hyderabad, The ICFAI Foundation for Higher Education (IFHE), (Deemed to be university u/s 3 of the UGC Act 1956), Hyderabad, India

    D. Saravanan & K. V. S. S. N. Narasimha Murty

Authors
  1. D. Saravanan
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  2. K. V. S. S. N. Narasimha Murty
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Corresponding author

Correspondence to D. Saravanan .

Editor information

Editors and Affiliations

  1. Gnanamani College of Engineering and Technology, Namakkal, Tamil Nadu, India

    Jennifer S. Raj

  2. Department of Computer Engineering and Informatics, University of Patras, Kato Kastritsi, Greece

    Isidoros Perikos

  3. Aurel Vlaicu, University of Arad, Arad, Romania

    Valentina Emilia Balas

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Saravanan, D., Narasimha Murty, K.V.S.S.N. (2023). Extracting Data from an Image Data Set Using Image Processing Methodology. In: Raj, J.S., Perikos, I., Balas, V.E. (eds) Intelligent Sustainable Systems. ICoISS 2023. Lecture Notes in Networks and Systems, vol 665. Springer, Singapore. https://doi.org/10.1007/978-981-99-1726-6_53

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